Assessing the efficiency of countries in making progress towards universal health coverage: a data envelopment analysis of 172 countries

Technical efficiency analysis of advanced medical centers in Burkina Faso

INTRODUCTION

Burkina Faso faces many challenges in the health domain, with no real opportunity for an increase in public health expenditures. In Burkina Faso, as in all low-income countries, health spending efficiency is crucial. The objective of this paper is to assess the efficiency of Advanced Medical Centers (AMCs)-which correspond to district hospitals-in Burkina Faso over the 2017-2020 period and identify the factors that promote-or, on the contrary, limit-the efficiency of these health structures.

METHOD

We first assessed the efficiency level of the 45 AMCs running in the country between 2017 and 2020 using a bootstrap Data Envelopment Analysis (DEA) methodology. Inputs include the number of doctors, nurses, other medical staff, non-medical staff, and beds, while output variables correspond to the number of inpatients, surgeries, outpatients, and inpatient days. In a second step, determinants of AMC's efficiency levels were explored using a double-bootstrap procedure. The roles of AMCs' internal and environmental factors were both considered.

RESULTS

We found a mean efficiency score of 0.51 over the study period, indicating that AMCs could have almost doubled their healthcare production without needing additional resources. The size, education level, and health status of the covered population and the density of the healthcare supply in the district appeared to be the driving factors of AMCs' efficiency.

CONCLUSION

Our results indicate that improving the efficiency of AMCs should be a high-level priority for the Burkinabe health policy. Resources could be reallocated across AMCs to increase the overall efficiency of the health system.

Efficiency of health systems in middle-income countries and determinants of efficiency in Latin America and the Caribbean

We estimate the efficiency of health spending in 145 middle and high-income and the potential gains from improving efficiency for a range of health system outputs using Robust Data Envelopment Analysis for 2010-2014 and 2015-2019 and examine associations with health system characteristics. Focusing on Latin American and Caribbean countries, we find large variability in efficiency and overall substantial potential gains in the later period, despite improvements over time. Our results suggest that, for example, improving spending efficiency could increase life expectancy at birth by 3.5 years (4.6%), or slightly more than the 3.4-year improvement in average life expectancy in the region between 2000 and 2015. Similarly, improved efficiency could reduce neonatal mortality by 6.7 per 1,000 live births (62%), increase service coverage by 6 percentage points (8.7%), and reduce the rich-poor gap in birth attendance by 10 percentage points (12.6%). We find that governance quality is positively associated with efficiency. Overall, the findings indicate an urgent need to improve efficiency in the region and substantial scope for realizing the potential gains of such improvements.

Health resource allocation within the close-knit medical consortium after the Luohu healthcare reform in China: efficiency, productivity, and influencing factors

Objective

This study aims to assess the efficiency and productivity of the Luohu Hospital Group after the reform and to identify factors influencing the efficiency to support the future development of medical consortia.

Methods

Data on health resources from Shenzhen and the Luohu Hospital Group for the years 2015 to 2021 were analyzed using the super-efficiency slack-based measure data envelopment analysis (SE-SBM-DEA) model, Malmquist productivity index (MPI), and Tobit regression to evaluate changes in efficiency and productivity and to identify determinants of efficiency post-reform.

Results

After the reform, the efficiency of health resource allocation within the Luohu Hospital Group improved by 33.87%. Community health centers (CHCs) within the group had an average efficiency score of 1.046. Moreover, the Luohu Hospital Group's average total factor productivity change (TFPCH) increased by 2.5%, primarily due to gains in technical efficiency change (EFFCH), which offset declines in technical progress change (TECHCH). The efficiency scores of CHCs were notably affected by the ratio of general practitioners (GPs) to health technicians and the availability of home hospital beds.

Conclusion

The reform in the Luohu healthcare system has shown preliminary success, but continuous monitoring is necessary. Future strategies should focus on strengthening technological innovation, training GPs, and implementing the home hospital bed policy. These efforts will optimize the efficiency of health resource allocation and support the integration and development of resources within the medical consortium.

Key Indicators for Monitoring the Efficiency of Iranian Health System: A Synthesized Design Study

Background

A significant share of medical care, primary health care, and health-related education and research in Iran is provided by the Ministry of Health and its affiliated universities of medical sciences. We aimed to identify a set of key metrics for monitoring their efficiency in the four areas of medical care, primary health care, education and research.

Methods

A combination of scoping review, expert panel and Delphi method was used. First, the relevant keywords were searched in the appropriate databases between 2000 and 2020. The final extracted indicators then reviewed, reduced and refined through the expert panel meetings. The last metrics were established following a three-stage Delphi study.

Results

Out of 2327 studies, 155 were selected following the different screening stages of scoping review. After summarizing and refining the indicators via several expert panel meetings and the Delphi method, a total of 36 key indicators were considered appropriate for measuring efficiency of the health system, 23 of which were for the sub-systems of public health (4 indicators), medical services (10 indicators), education (4 indicators) and research (5 indicators) and 13 indicators for the whole system efficiency.

Conclusion

The set of indicators presented representing both the technical and allocative efficiency, might be a reliable basis for designing information systems and management dashboards for periodic monitoring of health system efficiency at national, regional and local levels.

Surgical System Efficiency and Operative Productivity in Public and Private Health Facilities in Ethiopia: A Cross-Sectional Evaluation

BACKGROUND

Global and local health organizations track surgical system efficiency to improve surgical system performance using various efficiency metrics, such as operating room (OR) output, surgical incision start time (SIST), turnover time (TOT), cancellation rate among elective surgeries, and in-hospital surgery wait time. We evaluated the surgical system efficiency and factors affecting the efficiency in health facilities across Ethiopia.

METHODS

A cross-sectional study design with retrospective record review was used to evaluate the surgical system efficiency in 163 public and private health facilities in Ethiopia from December 2020 to June 2021. Experienced, trained surgical clinicians abstracted efficiency data from service registers and patient charts using a pretested tool. A bivariable and multivariable regression analysis was conducted.

RESULTS

In the study facilities, 84.11% of the operating tables were functional, and 68,596 major surgeries were performed. The aggregate OR output in both public and private health facilities was 2 surgeries per day per OR table. Operating productivity was shown to be affected by first-case SIST (P=.004). However, of the total 881 surgery incision times audited, 19.86% of the first-of-the-day elective surgeries started after 10:01 am. The SIST was strongly associated with an in-hospital wait time for surgery (P=.016). The elective surgery cancellation rate was 5.2%, and aggregate mean TOT was 50.25 minutes. The mean in-hospital surgery wait time was 45.40 hours, longer than the national cutoff for wait time. In a bivariable analysis, the independent variables that demonstrated association operating room productivity were then inputted into a multivariable regression analysis model. However, none of the predictor/independent variables showed significance in the multivariable regression analysis model.

CONCLUSION

The volume of surgery and overall OR productivity in Ethiopia is low. This calls for concerted action to optimize OR efficiency and improve access to timely and safe surgical care in Ethiopia and other LMICs.

Assessing equity and efficiency of health financing towards universal health coverage between regions in Tanzania

Equity and efficiency in health financing are intermediate universal health coverage (UHC) objectives. While there is growing attention to monitoring these goals at the national level, subnational assessment is also needed to uncover potential divergences across subnational units. We assessed whether health funds were allocated or contributed equitably and spent efficiently across 26 regions in Tanzania in 2017/18 for four sources of funding. Government and donor health basket fund (HBF) expenditure data were obtained from government authorities. Household contributions to health insurance and out-of-pocket payments were obtained from the national household budget survey. We used the Kakwani index (KI) to measure regional funding equity, whereby regional GDP per capita measured regional economic status. Efficiency analysis included four financing inputs and two UHC outputs (maternal health service coverage and financial protection indices). Data envelopment analysis estimated efficiency scores. There was substantial variation in per capita regional funding, especially in insurance contributions (TZS 473-13,520), and service coverage performance (49-86.3%). There was less variation in per capita HBF spending (TZS 1294-2394) and financial protection (93.5-99.4%). Government spending (KI: -0.047, p = 0.348) was proportional to regional economic status; but HBF spending (KI: -0.195, p < 0.001) was significantly progressive (equitably distributed), being targeted to regions with high economic need (poor). The burden of contributing to social health insurance (NHIF) was proportional (KI: 0.058, p = 0.613), while the burden of paying for community-based insurance (CHF, KI: -0.152, p=0.012) and out-of-pocket payments (KI: -0.187, p=0.005) was higher among the poor (regressive). The average efficiency score across regions was 90%, indicating that 90% of financial resources were used optimally, while 10% were wasted or underutilised. Tanzania should continue mobilising domestic resources for health towards UHC, and reduce reliance on inequitable out-of-pocket payments and community-based health insurance. Policymakers must enhance resource allocation formulas, public financial management, and sub-national resource tracking to improve equity and efficiency in resource use.

Evaluating health systems' efficiency towards universal health coverage: A data envelopment analysis

To estimate the technical efficiency of health systems toward achieving universal health coverage (UHC) in 191 countries. We applied an output-oriented data envelopment analysis approach to estimate the technical efficiency of the health systems, including the UHC index (a summary measure that captures both service coverage and financial protection) as the output variable and per capita health expenditure, doctors, nurses, and hospital bed density as input variables. We used a Tobit simple-censored regression with bootstrap analysis to observe the socioeconomic and environmental factors associated with efficiency estimates. The global UHC index improved from the 2019 estimates, ranged from 48.4 (Somalia) to 94.8 (Canada), with a mean of 76.9 (std. dev.: ±12.0). Approximately 78.5% (150 of 191) of the studied countries were inefficient (ϕ < 1.0) with respect to using health system resources toward achieving UHC. By improving health system efficiency, low-income, lower-middle-income, upper-middle-income, and high-income countries can improve their UHC indices by 4.6%, 5.5%, 6.8%, and 4.1%, respectively, by using their current resource levels. The percentage of health expenditure spent on primary health care (PHC), governance quality, and the passage of UHC legislation significantly influenced efficiency estimates. Our findings suggests health systems inefficiency toward achieving UHC persists across countries, regardless of their income classifications and WHO regions, as well as indicating that using current level of resources, most countries could boost their progress toward UHC by improving their health system efficiency by increasing investments in PHC, improving health system governance, and where applicable, enacting/implementing UHC legislation.

Ethical Frameworks and Global Health: A Narrative Review of the "Leave No One Behind" Principle

The "Leave No One Behind" (LNOB) principle, a fundamental commitment of the United Nations' Sustainable Development Goals, emphasizes the urgent need to address and reduce global health inequalities. As global health initiatives strive to uphold this principle, they face significant ethical challenges in balancing equity, resource allocation, and diverse health priorities. This narrative review critically examines these ethical dilemmas and their implications for translating LNOB into actionable global health strategies. A comprehensive literature search was conducted using PubMed, Scopus, Web of Science, and Semantic Scholar, covering publications from January 1990 to April 2024. The review included peer-reviewed articles, gray literature, and official reports that addressed the ethical dimensions of LNOB in global health contexts. A thematic analysis was employed to identify and synthesize recurring ethical issues, dilemmas, and proposed solutions. The thematic analysis identified 4 primary ethical tensions that complicate the operationalization of LNOB: (1) Universalism versus Targeting, where the challenge lies in balancing broad health improvements with targeted interventions for the most disadvantaged; (2) Resource Scarcity versus Equity; highlighting the ethical conflicts between maximizing efficiency and ensuring fairness; (3) Top-down versus Bottom-up Approaches, reflecting the tension between externally driven initiatives and local community needs; and (4) Short-term versus Long-term Sustainability, addressing the balance between immediate health interventions and sustainable systemic changes. To navigate these ethical challenges effectively, global health strategies must adopt a nuanced, context-sensitive approach incorporating structured decision-making processes and authentic community participation. The review advocates for systemic reforms that address the root causes of health disparities, promote equitable collaboration between health practitioners and marginalized communities, and align global health interventions with ethical imperatives. Such an approach is essential to truly operationalize the LNOB principle and foster sustainable health equity.

The state and significant drivers of health systems efficiency in Africa: A systematic review and meta-analysis

Background

Low-and-middle-income countries, especially in Africa, lack the capacity to adequately invest in health systems to attain universal health coverage (UHC). As such, countries must improve efficiency and provide more services within the available resources. This systematic review synthesised evidence on the efficiency of health systems in the African region and its drivers.

Methods

We conducted a systematic literature review guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 statement. Related studies were grouped and meta-analysed, while others were descriptively analysed. We employed a qualitative content synthesis for synthesising the drivers of efficiency.

Results

Overall, 39 studies met a predetermined inclusion criterion and were included from a possible 4 609 records retrieved through a rigorous search and selection process. Using a random effects restricted maximum likelihood method, the pooled efficiency score for the Africa region was estimated to be 0.77, implying that on the flip side, health system inefficiency across countries in the African region was approximately 23%. Across 22 studies that used data envelopment analysis to examine efficiency at the level of health facilities and sub-national entities, the efficiency level was 0.67. Facility-level studies tended to estimate low levels of efficiency compared to health system-level studies. Across the 39 studies, 21 significant drivers of inefficiency were reported, including population density of the catchment area, governance, health facility ownership, health facility staff density, national economic status, type of health facility, education index, hospital size and bed occupancy rate.

Conclusion

With approximately 23% of the inefficiency of health systems in Africa, improving efficiency alone will yield an average of 34% improvement in resource availability, assuming all countries are performing similarly to the frontier countries. However, with the low level of health expenditure per capita in Africa, the efficiency gains alone will be insufficient to meet the minimum funding requirement for UHC.

Registration

PROSPERO: CRD42022318122.

Health systems efficiency in China and ASEAN, 2015-2020: a DEA-Tobit and SFA analysis application

OBJECTIVE

To evaluate the health systems efficiency in China and Association of Southeast Asian Nations (ASEAN) countries from 2015 to 2020.

DESIGN

Health efficiency analysis using data envelopment analysis (DEA) and stochastic frontier approach analysis.

SETTING

Health systems in China and ASEAN countries.

METHODS

DEA-Malmquist model and SFA model were used to analyse the health system efficiency among China and ASEAN countries, and the Tobit regression model was employed to analyse the factors affecting the efficiency of health system among these countries.

RESULTS

In 2020, the average technical efficiency, pure technical efficiency and scale efficiency of China and 10 ASEAN countries' health systems were 0.700, 1 and 0.701, respectively. The average total factor productivity (TFP) index of the health systems in 11 countries from 2015 to 2020 was 0.962, with a decrease of 1.4%, among which the average technical efficiency index was 1.016, and the average technical progress efficiency index was 0.947. In the past 6 years, the TFP index of the health system in Malaysia was higher than 1, while the TFP index of other countries was lower than 1. The cost efficiency among China and ASEAN countries was relatively high and stable. The per capita gross domestic product (current US$) and the urban population have significant effects on the efficiency of health systems.

CONCLUSIONS

Health systems inefficiency is existing in China and the majority ASEAN countries. However, the lower/middle-income countries outperformed high-income countries. Technical efficiency is the key to improve the TFP of health systems. It is suggested that China and ASEAN countries should enhance scale efficiency, accelerate technological progress and strengthen regional health cooperation according to their respective situations.

Assessing the efficiency of health systems in achieving the universal health coverage goal: evidence from Sub-Saharan Africa

OBJECTIVE

Universal health coverage (UHC) is a major pathway to save many people from catastrophic and impoverishing healthcare spending and address the inequality in health and healthcare. The objective of this paper is to assess the efficiency with which health systems in sub-Saharan Africa (SSA) are utilizing healthcare resources to progress towards achieving the UHC goal by 2030.

METHODS

The study followed the guidelines proposed by the World Health Organization (WHO) and World Bank joint UHC monitoring framework and the computational operationalization approach proposed by Wagstaff et al. (2015) to estimate the UHC index for each of the 30 selected SSA countries. The bootstrapping output-oriented data envelopment analysis (DEA) was used to estimate the bias-corrected technical efficiency scores and examine the environmental factors that influence health system efficiency.

RESULTS

The estimated UHC levels ranged from a minimum of 52% to a maximum of 81% [Formula: see text] with a median coverage of 66%. The average bias-corrected efficiency score was 0.81 [Formula: see text]. The study found that education, governance quality, public health spending, external health funding, and prepayment arrangements that pool funds for health had a positive significant effect on health system efficiency in improving UHC, while out-of-pocket payment had a negative impact.

CONCLUSION

The results show that health systems in SSA can potentially enhance UHC levels by at least 19% with existing healthcare resources if best practices are adopted. Policymakers should aim at improving education, good governance, and healthcare financing architecture to reduce out-of-pocket payments and over-reliance on donor funding for healthcare to achieve UHC.

Effect of Primary Health Care Expenditure on Universal Health Coverage: Evidence from Sub-Saharan Africa

Background

Investment in primary health care (PHC) to achieve universal health coverage (UHC) and better health outcomes remains a key global health agenda. This study aimed to assess the effects of PHC spending on UHC and health outcomes.

Methods

The study used the Grossman Health Production Model and conducted econometric analyses using panel data from 2016 to 2019 covering 34 countries in SSA. Fixed and random effects panel regression models were used for the analyses. All the analyses in this study were carried out using the statistical software package STATA Version 15.

Results

We found that PHC expenditure has a positive significant but inelastic effect on UHC and life expectancy at birth and a negative effect on infant mortality. Both the fixed and random effects models provided a robust relationship between PHC expenditure and UHC and health outcomes. Education, access to an improved water source, and the age structure of the population were found to be strongly associated with health outcomes.

Conclusion

The inelastic nature of the PHC expenditure means that the UHC goal might only be achieved at high levels of PHC expenditure. This implies that policymakers must make conscious effort to increase PHC expenditure to ensure the attainment of the UHC goal.

National tuberculosis spending efficiency and its associated factors in 121 low-income and middle-income countries, 2010–19: a data envelopment and stochastic frontier analysis

Background

Maximising the efficiency of national tuberculosis programmes is key to improving service coverage, outcomes, and progress towards End TB targets. We aimed to determine the overall efficiency of tuberculosis spending and investigate associated factors in 121 low-income and middle-income countries between 2010 and 2019.

Methods

In this data envelopment and stochastic frontier analysis, we used data from the WHO Global TB report series on tuberculosis spending as the input and treatment coverage as the output to estimate tuberculosis spending efficiency. We investigated associations between 25 independent variables and overall efficiency.

Findings

We estimated global tuberculosis spending efficiency to be between 73·8% (95% CI 71·2–76·3) and 87·7% (84·9–90·6) in 2019, depending on the analytical method used. This estimate suggests that existing global tuberculosis treatment coverage could be increased by between 12·3% (95% CI 9·4–15·1) and 26·2% (23·7–28·8) for the same amount of spending. Efficiency has improved over the study period, mainly since 2015, but a substantial difference of 70·7–72·1 percentage points between the most and least efficient countries still exists. We found a consistent significant association between efficiency and current health expenditure as a share of gross domestic product, out-of-pocket spending on health, and some Sustainable Development Goal (SDG) indicators such as universal health coverage.

Interpretation

To improve efficiency, treatment coverage will need to be increased, particularly in the least efficient contexts where this might require additional spending. However, progress towards global End TB targets is slow even in the most efficient countries. Variables associated with TB spending efficiency suggest efficiency is complimented by commitments to improving health-care access that is free at the point of use and wider progress towards the SDGs. These findings support calls for additional investment in tuberculosis care.

Funding

None.

Technical efficiency of national HIV/AIDS spending in 78 countries between 2010 and 2018: A data envelopment analysis

HIV/AIDS remains a leading global cause of disease burden, especially in low- and middle-income countries (LMICs). In 2020, more than 80% of all people living with HIV (PLHIV) lived in LMICs. While progress has been made in extending coverage of HIV/AIDS services, only 66% of all PLHIV were virally suppressed at the end of 2020. In addition to more resources, the efficiency of spending is key to accelerating progress towards global 2030 targets for HIV/AIDs, including viral load suppression. This study aims to estimate the efficiency of HIV/AIDS spending across 78 countries. We employed a data envelopment analysis (DEA) and a truncated regression to estimate the technical efficiency of 78 countries, mostly low- and middle-income, in delivering HIV/AIDS services from 2010 to 2018. Publicly available data informed the model. We considered national HIV/AIDS spending as the DEA input, and prevention of mother to child transmission (PMTCT) and antiretroviral treatment (ART) as outputs. The model was adjusted by independent variables to account for country characteristics and investigate associations with technical efficiency. On average, there has been substantial improvement in technical efficiency over time. Spending was converted into outputs almost twice as efficiently in 2018 (81.8%; 95% CI = 77.64, 85.99) compared with 2010 (47.5%; 95% CI = 43.4, 51.6). Average technical efficiency was 66.9% between 2010 and 2018, in other words 33.1% more outputs could have been produced relative to existing levels for the same amount of spending. There is also some variation between WHO/UNAIDS regions. European and Eastern and Southern Africa regions converted spending into outputs most efficiently between 2010 and 2018. Rule of Law, Gross National Income, Human Development Index, HIV prevalence and out-of-pocket expenditures were all significantly associated with efficiency scores. The technical efficiency of HIV investments has improved over time. However, there remains scope to substantially increase HIV/AIDS spending efficiency and improve progress towards 2030 global targets for HIV/AIDS. Given that many of the most efficient countries did not meet 2020 global HIV targets, our study supports the WHO call for additional investment in HIV/AIDS prevention and control to meet the 2030 HIV/AIDS and eradication of the AIDS epidemic.

Evaluation of the Efficiency of European Health Systems Using Fuzzy Data Envelopment Analysis

Many studies that assess efficiency in health systems are based on output mean values. That approach ignores the representativeness of the average statistic, which can become a serious problem in estimation. To solve this question, this research contributes in three different ways: the first aim is to evaluate the technical efficiency in the management of European health systems considering a set of DEA (Data Envelopment Analysis) and FDEA (Fuzzy Data Envelopment Analysis) models. A second goal is to assess the bias in the estimation of efficiency when applying the conventional DEA. The third objective is the evaluation of the statistical relationship between the bias in the efficiency estimation and the macroeconomic variables (income inequality and economic freedom). The main results show positive correlations between DEA and FDEA scores. Notwithstanding traditional DEA models overestimate efficiency scores. Furthermore, the size of the bias is positively related to income inequality and negative with economic freedom in the countries evaluated.

Balancing Equity and Efficiency in the Allocation of Health Resources-Where Is the Middle Ground?

The notion of equity in health service delivery has been embodied in several of the Global Sustainable Development Goals (SDGs), especially the aspiration for universal health coverage (UHC). At the same time, escalating healthcare costs amidst dwindling resources continue to ignite discussions on the efficiency aspect of healthcare delivery at both operational and system levels. Therefore, health planners and managers have had to grapple with balancing the two, given limited resources and sophisticated population health needs. Undoubtedly, the concepts of equity and efficiency have overarching importance in healthcare. While efficiency dictates an 'economical' use of the limited healthcare resources, equity advocates their fair and ethical use. Some have leaned on this to argue that one has to be forgone in search of the other. In search of a 'middle ground', this paper explores the conceptual underpinnings of equity and efficiency in the context of healthcare resource allocation with some empirical examples from high-income and low- and middle-income settings. We conclude by arguing that equity and efficiency are, and ought to be, treated as complementary rather than conflicting considerations in distributing health resources. Each could be pursued without necessarily compromising the other-what matters is an explicit criterion of what will be 'equitable' in ensuring efficient allocation of resources, and on the other hand, what options will be considered more 'efficient' when equity objectives are pursued. Thus, equity can be achieved in an efficient way, while efficiency can drive the attainment of equity.

Health system efficiency and democracy: A public choice perspective

Due to increasing demand and scarce financial resources for healthcare, health system efficiency has become a major topic in political and scientific debates. While previous studies investigating determinants of health system efficiency focused primarily on economic and social influence factors, the role of the political regime has been neglected. In addition, there is a lack of formal theoretical work on this specific topic, which ensures transparency and logical consistency of arguments and implications. Using a public choice approach, this paper provides a rigorous theoretical and empirical investigation of the relationships between health system efficiency and political institutions. We develop a simple principal-agent model describing the behavior of a government with respect to investments in population health under different political regimes. The main implication of the theoretical model is that governments under more democratic regimes put more effort in reducing embezzlement of health expenditure than non-democratic regimes. Accordingly, democratic countries are predicted to have more efficient health systems than non-democratic countries. We test this hypothesis based on a broad dataset including 158 countries over the period 1995-2015. The empirical results clearly support the implications of the theoretical model and withstand several robustness checks, including the use of alternative indicators for population health and democracy and estimations accounting for endogeneity. The empirical results also indicate that the effect of democracy on health system efficiency is more pronounced in countries with higher income levels. From a policy perspective, we discuss the implications of our findings in the context of health development assistance.

Towards universal health coverage in the WHO African Region: assessing health system functionality, incorporating lessons from COVID-19

The move towards universal health coverage is premised on having well-functioning health systems, which can assure provision of the essential health and related services people need. Efforts to define ways to assess functionality of health systems have however varied, with many not translating into concrete policy action and influence on system development. We present an approach to provide countries with information on the functionality of their systems in a manner that will facilitate movement towards universal health coverage. We conceptualise functionality of a health system as being a construct of four capacities: access to, quality of, demand for essential services and its resilience to external shocks. We test and confirm the validity of these capacities as appropriate measures of system functionality. We thus provide results for functionality of the 47 countries of the WHO African Region based on this. The functionality of health systems ranges from 34.4 to 75.8 on a 0–100 scale. Access to essential services represents the lowest capacity in most countries of the region, specifically due to poor physical access to services. Funding levels from public and out-of-pocket sources represent the strongest predictors of system functionality, compared with other sources. By focusing on the assessment on the capacities that define system functionality, each country has concrete information on where it needs to focus, in order to improve the functionality of its health system to enable it respond to current needs including achieving universal health coverage, while responding to shocks from challenges such as the 2019 coronavirus disease. This systematic and replicable approach for assessing health system functionality can provide the guidance needed for investing in country health systems to attain universal health coverage goals.